Author: Ava Patterson
Ava is a San Francisco-based marketing tech writer with a decade of hands-on experience covering the latest in martech, automation, and AI-powered strategies for global brands. She previously led content at a SaaS startup and holds a degree in Computer Science from UCLA. When she's not writing about the latest AI trends and platforms, she's obsessed about automating her own life. She collects vintage tech gadgets and starts every morning with cold brew and three browser windows open.
A practical framework for testing agentic CRM readiness in Salesforce, HubSpot, and Zoho before AI agents touch live customer data.
MCP standardizes how AI tools connect to your data, and picking non-compliant platforms now means costly rebuilds later.
Silent errors from AI video editing agents can slip into paid media undetected—here’s how to build an audit layer that catches them first.
Klaviyo, Nutshell, and Insider One all claim AI-native personalization — here’s which one actually delivers for brand and agency teams.
Marketing mix modeling is back, but BERA.ai and PurpleLab challenge legacy vendors on speed, cost, and creative-level insight.
A practical framework for splitting marketing budgets between generative engine optimization and traditional SEO in 2026.
A practical framework for evaluating Netcore.ai’s seven-agent model against single-agent platforms on ROI, risk, and operational fit.
Personalization fails without unified identity. Here’s the technical framework for stitching web, ad, CRM, and sales data into one event model.
Sitefinity, Contentful AI, and Adobe Experience Manager treat governance differently — here’s what that means for your publishing speed and risk exposure.
AI assistants are becoming the default checkout. Here’s how brands should structure product feeds now, before agentic commerce sets the rules.